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Название: Artificial Intelligence and Actuarial Science: Applications and Case Studies from Finance and Insurance
Автор: Sonal Trivedi, M.K. Nallakaruppan, Balamurugan Balusamy, Nithya Rekha Sivakumar
Издательство: CRC Press
Год: 2025
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 12.2 MB
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of Artificial Intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes. Actuarial work is being transformed by the integration of Artificial Intelligence (AI) and process automation. This book examines the role of AI with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of Machine Learning (ML), telematics system, AI‑enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI‑enabled risk management tools in various actuarial processes. This book covers a huge application of emerging technologies in the transformation of actuarial work in insurance, as well as almost all the areas where the various emerging cutting‑edge technologies can be applied in the actuarial process.
Автор: Sonal Trivedi, M.K. Nallakaruppan, Balamurugan Balusamy, Nithya Rekha Sivakumar
Издательство: CRC Press
Год: 2025
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 12.2 MB
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of Artificial Intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes. Actuarial work is being transformed by the integration of Artificial Intelligence (AI) and process automation. This book examines the role of AI with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of Machine Learning (ML), telematics system, AI‑enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI‑enabled risk management tools in various actuarial processes. This book covers a huge application of emerging technologies in the transformation of actuarial work in insurance, as well as almost all the areas where the various emerging cutting‑edge technologies can be applied in the actuarial process.